There are different type of people with different race, sex, country, marrital status etc having different workclass and occupation it become necessary to know in which salary class a person falls. The Goal is to predict whether a person has an income of more than 50K a year or not. This is basically a binary classification problem where a person is classified into the >50K group or <=50K group. I have created a complete blog to solve this machine learning problem.

There are many among us who prefer to spend more time with books than anything else. Here we explore a big database of books. Books of different genres, from thousands of authors. In this project, we will use the dataset to build a Machine Learning model to predict the price of books based on a given set of features. Size of training set: 6237 records Size of test set: 1560 records